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L-Phenylalanine, CAS 63-91-2 — chemical product label

L-Phenylalanine

PHE

CAS 63-91-2 EC 200-568-1 C9H11NO2 Powder
MolGod_SDSCARD_1
REACH 2020/878
v1 · 22.09.2026

Specification

Product NameL-Phenylalanine
Other NamesPHE
CAS No.63-91-2
EINECS No.200-568-1
MFC9H11NO2
Molecular weight165.19
Purity99.5%
AppearancePowder
Density1.202 g/cm³
Melting point270-275°C (lit.)
Boiling point293.03°C (rough estimate)
Flashing point153.1°C

Values are typical for the standard grade. Tighter specifications are available — state the target in your inquiry and we confirm against the production batch.

L-Phenylalanine
L-Phenylalanine
L-Phenylalanine
L-Phenylalanine
L-Phenylalanine

L-Phenylalanine (CAS 63-91-2) is an essential amino acid widely used across industries such as food, pharmaceuticals, nutraceuticals, and animal nutrition. From a procurement perspective, it is valued for its high purity, stable chemical properties, and important role as a key building block in protein synthesis and metabolic processes.

  • L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical ApplicationsL-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical ApplicationsL-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Product Description

L-Phenylalanine (CAS 63-91-2) is an essential amino acid widely used across industries such as food and beverage, pharmaceuticals, nutraceuticals, and animal nutrition. From a procurement perspective, it is valued for its high purity, stable chemical characteristics, and its critical role as a precursor in protein synthesis and various metabolic pathways.

In food and beverage applications, L-Phenylalanine is commonly used as a nutritional fortifier and as a key component in the production of high-intensity sweeteners such as aspartame. Its consistent quality and stability enable manufacturers to maintain reliable taste profiles and product performance.

Within the nutraceutical and dietary supplement sector, L-Phenylalanine is utilized in formulations aimed at supporting cognitive function, mood balance, and overall metabolic health. Its compatibility with other amino acids and active ingredients allows for flexible formulation in capsules, tablets, and powder blends.

In pharmaceutical applications, L-Phenylalanine serves as an important intermediate and active component in specific therapeutic formulations. Its well-defined purity and controlled production standards are essential for meeting strict regulatory requirements.

In animal nutrition, L-Phenylalanine is used as a feed additive to improve protein utilization and support growth performance, contributing to more efficient feed formulations.

From a sourcing and supply chain standpoint, high-quality L-Phenylalanine provides:

  • High purity with strict impurity control

  • Stable chemical properties and long shelf life

  • Consistent batch-to-batch quality

  • Compliance with food grade and pharmaceutical grade standards

  • Flexible packaging options and reliable global supply

For buyers focused on product quality, formulation flexibility, and regulatory compliance, L-Phenylalanine is a reliable and versatile amino acid ingredient across multiple application sectors.

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Delivery&Payment method

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Frequently asked

Is a safety data sheet available for L-Phenylalanine?

Yes, on request. Safety data sheets are issued per grade and destination market; state the country of import in your inquiry.

What purity do you supply?

The standard grade is 99.5%. Tighter specifications are confirmed against the production batch before shipment.

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🧬 Wizualizator molekuły 3D
Ładowanie molekuły...
Model 3D L-Phenylalanine, CAS 63-91-2, wzór sumaryczny C9H11NO2, masa molowa 165.19 g/mol

Dane transkrybowane z rejestrów regulacyjnych i literatury fachowej, z podaniem źródła i wydania. Nie zastępują karty charakterystyki dostawcy. Pola bez zapisanego źródła oznaczone jako takie.

📊 Dane fizykochemiczne — CAS 63-91-2MolGod_PROPHUB_MAIN
📊 Właściwości fizykochemiczne

Szybki przegląd

Wzór: C9H11NO2
MW: 165.19 g/mol
CAS: 63-91-2
🔬 Właściwości zaawansowane

Identyfikatory chemiczne

SMILES: C1=CC=C(C=C1)C[C@@H](C(=O)O)N

Ostatnia aktualizacja: 2026-09-21

Przegląd chemiczny: L-PhenylalanineMolGod_OVERVIEW_1
Wzór sumarycznyC9H11NO2[1]
Masa cząsteczkowa165.19 g/mol[1]
Temperatura topnienia283 °C[1]
LogP (lipofilowość)-1.5[1]
Nazwa IUPAC(2S)-2-amino-3-phenylpropanoic acid[1]
SMILESC1=CC=C(C=C1)C[C@@H](C(=O)O)N[1]
InChIKeyCOLNVLDHVKWLRT-QMMMGPOBSA-N[1]

Synonimy: L-phenylalanine · phenylalanine · 63-91-2 · (S)-2-Amino-3-phenylpropanoic acid · (2S)-2-amino-3-phenylpropanoic acid

Data sources: PubChem (NLM/NIH)
Last updated: 2026-09-21

📚 Naukowe referencje (Chicago Author-Date) (1 źródeł)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Wzór sumaryczny · Masa cząsteczkowa · Temperatura topnienia · LogP (lipofilowość) · Nazwa IUPAC · SMILES · InChIKey

BADANIA NAUKOWE

[1]PubMed2025
N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.
Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org
Przejdź do pełnego badania ↗
[2]PubMed2024
SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.
Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insigh
Przejdź do pełnego badania ↗
[3]Doaj2021
Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine
Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules2614
Przejdź do pełnego badania ↗
📚 Naukowe referencje (Chicago Author-Date) 3 refs · 2 baz

MOLECULE Bibliografia per-CAS (live z 13+ baz)

Źródła: db:pubmed (2) · db:doaj (1)

  1. db:pubmed Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 →
  2. db:pubmed Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 →
  3. db:doaj Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 →
Status regulacyjny substancji
Brak wpisów dla tego CAS w sprawdzonych wykazach ograniczeń (lista kandydacka SVHC, REACH Załącznik XVII; zbiory niepełne - nie jest to potwierdzenie zgodności). Klasyfikacja CLP i status transportowy (ADR): patrz sekcja GHS oraz karta charakterystyki (SDS).
🧮 Kalkulator stechiometrycznyMolGod_STOICH_1
🧪 Dane chemiczneMolGod_CHEMDATA_1
Numer CAS
63-91-2
Wzór sumaryczny
C9H11NO2
Masa molowa
165.19 g/mol
Nazwa IUPAC (EN)
(2S)-2-amino-3-phenylpropanoic acid
SMILES
C1=CC=C(C=C1)C[C@@H](C(=O)O)N
InChIKey
COLNVLDHVKWLRT-QMMMGPOBSA-N
📚 Scientific literature (1 article)MolGod_LITSCI_1
📡 Data sourcesMolGod_SOURCES_1

The data in this widget comes from the following verified scientific sources:

  • PubChem — National Center for Biotechnology Information (NCBI/NIH), USA
  • ChEMBL — European Bioinformatics Institute (EMBL-EBI), UK
  • NIST WebBook — National Institute of Standards and Technology, USA

Data is cached locally for speed — the widget also works offline.

🔍 Identyfikatory zewnętrzneMolGod_EXTID_1
15 z 16 systemów ID94%
BazaIdentyfikatorAkcje
CAS Registry Number63-91-2Otwórz →
PubChem CID6140[1]Otwórz →
InChIKeyCOLNVLDHVKWLRT-QMMMGPOBSA-N[1]Otwórz →
InChIInChI=1S/C9H11NO2/c10-8(9(11)12)6-7-4-2-1-3-5-7/…[1]
SMILESC1=CC=C(C=C1)C[C@@H](C(=O)O)N[1]
EC Number200-568-1[2]Otwórz →
ChEMBLCHEMBL301523[3]Otwórz →
DrugBankDB00120Otwórz →
KEGG CompoundC00079Otwórz →
HMDBHMDB0000159Otwórz →
ChemSpider5910[4]Otwórz →
MeSH UID (NLM)D010649Otwórz →
UNII (FDA)47E5O17Y3ROtwórz →
NSC Number (NCI)79477Otwórz →
WikiData QIDQ170545Otwórz →

Źródła: PubChem (NIH), Wikidata SPARQL, KEGG, ChEMBL (EBI), CompTox CTX (EPA).

📚 Naukowe referencje (Chicago Author-Date) (4 źródeł)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: PubChem CID · InChIKey · InChI · SMILES
  2. ECHA. EC Inventory — EINECS, ELINCS, NLP and List Numbers assigned under REACH. Helsinki: European Chemicals Agency. ↗ dotyczy: EC Number
  3. ChEMBL. European Bioinformatics Institute (EMBL-EBI), bioactivity database. ↗ dotyczy: ChEMBL
  4. ChemSpider. Royal Society of Chemistry, chemical structure database. ↗ dotyczy: ChemSpider

Dalsza literatura

Publications thematically related to this CAS. They are not the source of any value given on this card.

Bibliografia (rozszerzona) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [dostep: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [dostep: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [dostep: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [dostep: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [dostep: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [dostep: 2026-09-21] CC0 (metadata)
📡 Spektroskopia — CAS 63-91-2MolGod_SPECHUB_MAIN
📊 Bazy widm spektroskopowych — dane inline 9 źródeł MolGod_SPECDB_2

Widma pobierane na żądanie z 9 źródeł. Każde widmo jest zapisywane w naszej bazie — kolejne otwarcie = zero zapytania do zewnętrznego API. Pobierz JCAMP-DX / CSV / PNG przy każdym widmie bez szukania.

IR IR (Infrared) — NIST WebBook
Public domain (US Federal)
▶ Kliknij aby załadować widmo
🔗 Źródło
— punktów
📚 NIST Chemistry WebBook, SRD 69
MS (NIST) Mass Spectrum (EI) — NIST WebBook
Public domain (US Federal)
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🔗 Źródło
— punktów
📚 NIST Standard Reference Database 1A
UV-Vis UV/Visible Absorption — NIST WebBook
Public domain (US Federal)
▶ Kliknij aby załadować widmo
🔗 Źródło
— punktów
📚 NIST Chemistry WebBook, SRD 69
¹H NMR NMR (¹H, ¹³C) — NMRShiftDB
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🔗 Źródło
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📚 Steinbeck C et al. (2003) J. Chem. Inf. Comput. Sci. 43(1):10–16 DOI: 10.1021/ci025588g
MS (MoNA) MoNA — MassBank of North America
CC-BY 4.0
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🔗 Źródło
— punktów
📚 MassBank of North America (UC Davis) DOI: 10.1002/jms.1777
IR/NMR/MS (SDBS) SDBS — Spectral Database for Organic Compounds (Japan AIST)
Free for non-commercial

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

🔗 IR/NMR/MS (SDBS) →
📚 SDBSWeb: https://sdbs.db.aist.go.jp (AIST, Japan)
JP Monograph Japanese Pharmacopoeia — Monographs
Reference only

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

🔗 JP Monograph →
📚 Japanese Pharmacopoeia 18th Edition (2021)
WHO INN WHO — International Nonproprietary Names
WHO Model Lists (free)

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

🔗 WHO INN →
📚 WHO INN Programme
DOAJ DOAJ — Directory of Open Access Journals
OA journal index (mixed)

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

🔗 DOAJ →
📚 DOAJ — doaj.org

Dane pobierane są jednorazowo (parser JCAMP-DX) i zapisywane w lokalnej bazie wtyczki. Zero duplikatów pobrań, zero zapytań do NIST przy kolejnych otwarciach. Licencje przestrzegane (publikowany tylko deep-link + własna wizualizacja).

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Dane pobierane na żywo z wielu źródeł (priority-chain). JCAMP-DX / CSV / PNG dostępne do pobrania pod każdym widmem.

IR — Fourier-transform infrared

Ładowanie IR — Fourier-transform infrared…

MS — Mass spectrometry (EI 70eV)

Ładowanie MS — Mass spectrometry (EI 70eV)…

Wlasciwosci strukturalneMolGod_STRUCT3D_1

Ladowanie danych strukturalnych...

❓ Najczęstsze pytania (3)MolGod_FAQ_1
What is 63-91-2?
63-91-2 (CAS 63-91-2) is a chemical compound. The chemical data comes from PubChem (National Institutes of Health, USA).
Pomocne?
What is the CAS number of 63-91-2?
The CAS number for 63-91-2 is 63-91-2. A CAS Registry Number is the standard identifier for a chemical substance in scientific literature and in trade.
Pomocne?
How should 63-91-2 be stored?
63-91-2 should be stored as its safety data sheet directs \— typically in a dry, cool, well-ventilated place, away from heat and from materials it is incompatible with.
Pomocne?
➕ Zaproponuj pytanie
Pobierz pliki strukturyMolGod_STRDL_1

Pliki struktury molekularnej z bazy PubChem (NIH). Kompatybilne z programami: Avogadro, PyMOL, Jmol, ChemDraw.

Zrodlo: PubChem, National Library of Medicine (NIH). CID: 6140

🔄 Konwerter jednostek stężeń LIVE MolGod_UNITCONV_1

Wpisz stężenie L-Phenylalanine w dowolnej jednostce — reszta obliczy się automatycznie.

MW: 165.19 g/mol · IUPAC Gold Book ↗

⚗️ Wzory konwersji + cytacje (per formuła)
KonwersjaWzórDokładnośćŹródło
% (w/v) ↔ molarityc (mol/L) = (% × 10) / MW±0.5% rel. when density ≈ 1.0 g/mLIUPAC (2019)
millimolar ↔ molarc (mol/L) = mM × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
molarity (mol/L)c = n/V = (m/MW)/V±0.1% (depends on MW precision)IUPAC (2019)
parts per million (mg/L) ↔ molarityc (mol/L) = ppm / (1000 × MW); equivalently ppm = mg/L for dilute aqueous±1% (density-independent for dilute solutions)IUPAC (2019)
mg/mL ↔ molarityc (mol/L) = (mg/mL × 1000) / MW / 1000 = mg/mL / MW × 1±0.2%Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
g/L ↔ molarityc (mol/L) = (g/L) / MW±0.1% (depends on MW precision)Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
mmol/L ↔ molarityc (mol/L) = mmol/L × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
Celsius ↔ KelvinT(K) = t(°C) + 273.15±0.01 K (ITS-90 scale)BIPM (Bureau International des Poids et Mesures) (2019)
Celsius ↔ FahrenheitT(°F) = T(°C) × 9/5 + 32±0.1 °FThompson A, Taylor BN (2008)
density-corrected % ↔ molarityc (mol/L) = (%w/w × ρ × 10) / MW, ρ in g/mL±0.1% when ρ known to 3 decimalsCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
📚 Bibliografia (8 źródeł autorytatywnych)
  1. Thompson A, Taylor BN (2008). Guide for the Use of the International System of Units (SI). NIST Special Publication 811 · DOI: 10.6028/NIST.SP.811-2008
    → Primary SI standard for US scientific usage
  2. Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007). Quantities, Units and Symbols in Physical Chemistry — The IUPAC Green Book. RSC Publishing, 3rd ed. · DOI: 10.1039/9781847557889 · ISBN: 978-0-85404-433-7
    → Canonical IUPAC guide for chemistry quantities/units
  3. BIPM (Bureau International des Poids et Mesures) (2019). The International System of Units (SI), 9th edition. BIPM · ↗
    → International SI definitions (incl. redefined kilogram 2019)
  4. ISO/IEC (2022). Quantities and units — Part 1: General. International Organization for Standardization — ISO 80000-1:2022 · ↗
    → General rules for physical quantities and units
  5. ISO/IEC (2019). Quantities and units — Part 9: Physical chemistry and molecular physics. International Organization for Standardization — ISO 80000-9:2019 · ↗
    → Concentration / molality / amount-of-substance conventions
  6. Tiesinga E, Mohr PJ, Newell DB, Taylor BN (2021). CODATA recommended values of the fundamental physical constants: 2018. Rev. Mod. Phys. 93(2):025010 · DOI: 10.1103/RevModPhys.93.025010
    → Avogadro, gas constant, molar volume (2019 SI revision)
  7. IUPAC (2019). Compendium of Chemical Terminology — the IUPAC Gold Book (online). IUPAC · DOI: 10.1351/goldbook
    → Definitions of mass fraction, molality, normality, ppm, activity
  8. Mills IM, Cvitaš T, Homann K, Kallay N, Kuchitsu K (1988). Quantities, Units and Symbols in Physical Chemistry. Blackwell Scientific Publications, 1st ed. · ISBN: 0-632-01773-5
    → Historical predecessor of IUPAC Green Book
Podobne struktury molekularneMolGod_SIMSTR_1

Ladowanie podobnych struktur...

Wyjasnienia naukoweMolGod_EDU3D_1

Automatycznie wygenerowane wyjasnienia na podstawie wlasciwosci molekularnych i oznaczen GHS. Zrodlo: dane PubChem + klasyfikacja CLP/GHS.

Cząsteczka silnie polarna

Ta czasteczka ma LogP = -1.50, co oznacza silna preferencje do fazy wodnej. Wynika to z obecnosci grup funkcyjnych zdolnych do tworzenia wiazan wodorowych (np. -OH, -NH2, -COOH). Substancja dobrze rozpuszcza sie w wodzie i rozpuszczalnikach polarnych.

Interpretacja na podstawie XLogP3 (PubChem)
🧪 Kreator przygotowania roztworu WIZARD MolGod_PREP_1
① Wybierz stężenie
② Objętość docelowa
③ Rozpuszczalnik

Obliczenia wg: IUPAC Gold Book ↗, Merck ↗

Chemia obliczeniowaMolGod_COMPCHEM_1

Ladowanie danych obliczeniowych...

🛡️ Bezpieczeństwo — CAS 63-91-2MolGod_SAFEHUB_MAIN
Informacja o ograniczeniach danych. Informacje dotyczące bezpieczeństwa zawarte na tej stronie mają charakter informacyjny i nie zastępują pełnej karty charakterystyki (SDS). Przed użyciem produktu zapoznaj się z aktualną kartą charakterystyki producenta oraz wytycznymi GHS/CLP. Klasyfikacja CLP dotyczy czystej substancji bulk, nie preparatów handlowych.

Brak zharmonizowanej klasyfikacji GHS dla tej substancji — patrz aktualna karta charakterystyki (SDS) dostawcy.

📚 Skonsolidowane referencje naukowe — Chicago Author-Date 10 źródeł

Referencje zebrane ze wszystkich zakładek Safety Hub. CAS: 63-91-2 · PubChem ↗

  1. Parlament Europejski i Rada UE. 2008. "Rozporządzenie (WE) nr 1272/2008 w sprawie klasyfikacji, oznakowania i pakowania substancji (CLP)." Dz.Urz. UE L 353. [↗] GHS, Regulacje
  2. United Nations Economic Commission for Europe (UNECE). 2021. "Globally Harmonized System of Classification and Labelling of Chemicals (GHS), Ninth Revised Edition." United Nations, Geneva. [↗] GHS
  3. Goldfrank, Lewis R., Robert S. Hoffman, Mary Ann Howland, et al.. 2019. "Goldfrank's Toxicologic Emergencies, 11th ed.." McGraw-Hill Education, New York. ISBN 978-1-25-985961-8. Pierwsza pomoc, Toksykologia
  4. National Institute for Occupational Safety and Health (NIOSH). 2023. "NIOSH Pocket Guide to Chemical Hazards (DHHS Publ. 2005-149)." U.S. Department of Health and Human Services / CDC, Cincinnati, OH. [↗] Pierwsza pomoc, PPE, Toksykologia
  5. European Committee for Standardization (CEN). 2016. "EN 374-1:2016 — Protective gloves against dangerous chemicals and micro-organisms." CEN, Brussels. [↗] PPE
  6. UNECE. 2023. "European Agreement Concerning the International Carriage of Dangerous Goods by Road (ADR 2025)." United Nations, Geneva. [↗] Utylizacja, Regulacje
  7. National Fire Protection Association (NFPA). 2022. "NFPA 400 — Hazardous Materials Code." NFPA, Quincy, MA. [↗] Magazynowanie
  8. Urben, P.G. (ed.). 2017. "Bretherick's Handbook of Reactive Chemical Hazards, 8th ed.." Butterworth-Heinemann / Elsevier, Oxford. [↗] Magazynowanie
  9. Ministerstwo Klimatu i Środowiska RP. 2023. "Baza danych o produktach i opakowaniach oraz o gospodarce odpadami (BDO)." Ministerstwo Klimatu i Środowiska, Warszawa. [↗] Utylizacja
  10. International Agency for Research on Cancer (IARC / WHO). 2024. "IARC Monographs on the Identification of Carcinogenic Hazards to Humans — List of Classifications." WHO, Lyon. [↗] Toksykologia

Zakładki z własnymi referencjami (Emergency, PPE, Storage, Waste) zawierają dodatkowe pozycje bibliograficzne wewnątrz swoich sekcji.

📈 Statystyka analityczna (t-test · RSD · Grubbs · Q-Dixon) ICH Q2

Wklej serię powtórzeń pomiarów (CSV lub po jednej liczbie w linii). Kalkulator policzy średnią, odchylenie, 95% CI, wykryje outliery (Grubbs + Dixon Q).

Separator: przecinek, spacja, tab, nowa linia. Min 3 pomiary.
📐 Formuły statystyczne
  • x̄ = Σxᵢ / n — średnia arytmetyczna
  • s² = Σ(xᵢ - x̄)² / (n-1) — wariancja próby
  • s = √s² — odchylenie standardowe
  • RSD% = (s / x̄) × 100% — względne odchylenie
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — test Grubbsa
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

Źródło: ICH Q2(R2) Validation of Analytical Procedures · ICH PDF ↗

🧪 Kalkulator receptur buforów UNIKALNE
References: Wartości pKa z Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Wybierz bufor z listy 20 popularnych systemów → wprowadź docelowe pH → otrzymasz dokładny przepis z masami do odważenia.

Krok 1: Wybierz system buforowy

📜 Historia przepisów (ostatnie 10)
Status farmakologiczny

Badania kliniczne Faza 3

Faza I
Faza II
Faza III
Dopuszczony

Faza III — wieloośrodkowe badania porównawcze na dużej populacji.

ChEMBL CHEMBL301523 ↗

Bibliografia (rozszerzona) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [dostep: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [dostep: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [dostep: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [dostep: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [dostep: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [dostep: 2026-09-21] CC0 (metadata)
📅 Project Planner — Lab experiment manager NOWOŚĆ

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🧪 Rozpuszczalność i kompatybilność z solwentami MolGod_SOLUB_1
Molekuła
L-Phenylalanine
Wzór
C9H11NO2
logP (XLogP3)
-1.50
Masa (g/mol)
165.19
Polarność
Hydrofilowa (polarna)

⚠️ Estymacja GC (Hoftyzer-Van Krevelen). Brak danych literaturowych HSP dla tego CAS — precyzja ±2 MPa½. Weryfikuj eksperymentalnie.

Ra < R₀ = good miscibility · Ra < 1,5×R₀ = borderline · above = poor (R₀ — radius of the Hansen sphere of this molecule) For this molecule R₀ = 8..

Solwent Kompat. Ra Wizual GC-MS HPLC Zastosowania Referencje
Water (H₂O)26.9 g/L (pomiar)—
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)——brak podstawy✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)——brak podstawy✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone——brak podstawy✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)——brak podstawy✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO——brak podstawy✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF——brak podstawy✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)——brak podstawy✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)——brak podstawy✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane——brak podstawy✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene——brak podstawy✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 Naukowe referencje dla solwentów (Chicago Author-Date) — kliknij aby rozwinąć

11 solvents · 54 full citations (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS) — below.

Water (H₂O)
  1. NIST — NIST Chemistry WebBook — Water (CAS 7732-18-5)
  2. CRC — CRC Handbook of Chemistry and Physics, 104th ed., Sec. 8 (Properties of Water)
  3. IAPWS — IAPWS Release on Static Dielectric Constant of Water
  4. Reichardt 2011 — Solvents and Solvent Effects in Organic Chemistry
  5. GESTIS — GESTIS Substance Database — Water
Ethanol (EtOH)
  1. NIST — NIST Chemistry WebBook — Ethanol (CAS 64-17-5)
  2. CRC — CRC Handbook — Ethanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — Ethanol eluotropic
  4. Smallwood — Handbook of Organic Solvent Properties — Ethanol
  5. GESTIS — GESTIS Substance Database — Ethanol
Methanol (MeOH)
  1. NIST — NIST Chemistry WebBook — Methanol (CAS 67-56-1)
  2. CRC — CRC Handbook — Methanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — MeOH eluotropic, eo=0.95
  4. GESTIS — GESTIS Substance Database — Methanol
Acetone
  1. NIST — NIST Chemistry WebBook — Acetone (CAS 67-64-1)
  2. CRC — CRC Handbook — Acetone physical & thermodynamic constants
  3. Hansen 2007 — Hansen Solubility Parameters — Acetone (dD=15.5, dP=10.4, dH=7.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Acetone
  5. GESTIS — GESTIS Substance Database — Acetone
Acetonitrile (ACN)
  1. NIST — NIST Chemistry WebBook — Acetonitrile (CAS 75-05-8)
  2. CRC — CRC Handbook — Acetonitrile constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — ACN gold-standard HPLC eluent
  4. Reichardt 2011 — Solvents and Solvent Effects — ACN dipolar aprotic
  5. GESTIS — GESTIS Substance Database — Acetonitrile
DMSO
  1. NIST — NIST Chemistry WebBook — DMSO (CAS 67-68-5)
  2. Wypych 2019 — Handbook of Solvents Vol. 1 — DMSO comprehensive properties
  3. Hansen 2007 — HSP — DMSO (dD=18.4, dP=16.4, dH=10.2)
  4. Reichardt 2011 — Solvents and Solvent Effects — DMSO E_T(30)=45.1, dipolar aprotic
  5. GESTIS — GESTIS Substance Database — DMSO
THF
  1. NIST — NIST Chemistry WebBook — THF (CAS 109-99-9)
  2. Armarego 2009 — Purification of Laboratory Chemicals — THF drying & peroxide test
  3. Hansen 2007 — Hansen Solubility Parameters — THF (dD=16.8, dP=5.7, dH=8.0)
  4. Smallwood — Handbook of Organic Solvent Properties — THF
  5. GESTIS — GESTIS Substance Database — Tetrahydrofuran
DCM (CH₂Cl₂)
  1. NIST — NIST Chemistry WebBook — Dichloromethane (CAS 75-09-2)
  2. IARC 71 — IARC Monograph 71 — DCM (Group 2A carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — DCM (dD=18.2, dP=6.3, dH=6.1)
  4. Reichardt 2011 — Solvents and Solvent Effects — DCM polarity index
  5. GESTIS — GESTIS Substance Database — Dichloromethane
Chloroform (CHCl₃)
  1. NIST — NIST Chemistry WebBook — Chloroform (CAS 67-66-3)
  2. IARC 73 — IARC Monograph 73 — Chloroform (Group 2B carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — CHCl3 (dD=17.8, dP=3.1, dH=5.7)
  4. Reichardt 2011 — Solvents and Solvent Effects — CHCl3 H-bond donor strength
  5. GESTIS — GESTIS Substance Database — Chloroform
n-Hexane
  1. NIST — NIST Chemistry WebBook — n-Hexane (CAS 110-54-3)
  2. ATSDR n-Hexane — ATSDR Toxicological Profile for n-Hexane — neuropatia obwodowa (n-Heksan NIE jest kancerogenem IARC)
  3. Hansen 2007 — Hansen Solubility Parameters — n-Hexane (dD=14.9, dP=0, dH=0)
  4. Snyder & Kirkland — Modern Liquid Chromatography — n-Hexane NP standard, eo=0.00
  5. GESTIS — GESTIS Substance Database — n-Hexane
Toluene
  1. NIST — NIST Chemistry WebBook — Toluene (CAS 108-88-3)
  2. IARC 71 — IARC Monograph 71 — Toluene
  3. Hansen 2007 — Hansen Solubility Parameters — Toluene (dD=18.0, dP=1.4, dH=2.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Toluene
  5. GESTIS — GESTIS Substance Database — Toluene
Teoria rozpuszczalności (zastosowane w przewidywaniu kompatybilności):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. CRC Press. https://doi.org/10.1201/9781420006834 — HSP triplet (dD, dP, dH) + wzór Ra.
  3. Stefanis, E., and C. Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." Int J Thermophys 29: 568–585. https://doi.org/10.1007/s10765-008-0415-z
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  5. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  6. Van Krevelen, D. W., and K. Te Nijenhuis. 2009. Properties of Polymers. 4th ed. Elsevier. https://doi.org/10.1016/B978-0-08-054819-7.X0001-5 — Hoftyzer–Van Krevelen group contribution dla dD/dP/dH z SMILES.
  7. Marcus, Yizhak. 1998. The Properties of Solvents. Wiley Series in Solution Chemistry, Vol. 4. ISBN 9780471983699 — Kompletny tabularny zestaw 250+ rozpuszczalników (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 63-91-2 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Kompletna bibliografia w akordeonie REFERENCJE (na dole strony) — Chicago Manual of Style 17th ed., Author-Date.

⚗️ Sprawdź kompatybilność reakcji MolGod_RXNCOMP_1

Sprawdź czy L-Phenylalanine jest kompatybilny z innym odczynnikiem

📦 Matryca kompatybilności przechowywania
Kwasy Zasady Utleniacze Łatwopalne Toksyczne Gazy
Kwasy ✓ ✗ ✗ ✗ ⚠ ✗
Zasady ✗ ✓ ⚠ ⚠ ⚠ ⚠
Utleniacze ✗ ⚠ ✓ ✗ ⚠ ✗
Łatwopalne ✗ ⚠ ✗ ✓ ⚠ ✗
Toksyczne ⚠ ⚠ ⚠ ⚠ ✓ ⚠
Gazy ✗ ⚠ ✗ ✗ ⚠ ✓
✓ Można razem · ⚠ Ostrożnie · ✗ NIE przechowywać razem · OSHA Chemical Segregation ↗

Dane kompatybilności z: Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 Kalkulatory laboratoryjne (8) MolGod_LABCALC_1
Rozcieńczenie (C₁V₁=C₂V₂)
Molarność (M=n/V)
pH Bufor (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Masa → Mole
Stężenie % → M
ppm → mg/L
Temperatura C↔F↔K

Formuły zweryfikowane: IUPAC Gold Book ↗, DOI ↗

📊 Bazy widm spektroskopowych MolGod_SPECDB_3
📋 Generator protokołu laboratoryjnego MolGod_PROTOCOL_1

Protokół wygenerowany na podstawie: GHS SDS, Aldrich Lab Guide ↗

🏷️ Generator etykiety (QR) MolGod_LABEL_1
L-Phenylalanine• phenylalanine / 3-Phenyl-L-alanine• IUPAC: (2S)-2-amino-3-phenylpropanoic acid• CAS: 63-91-2• EC: 200-568-1• Wzór: C9H11NO2• Masa: 165.19 g/molAnhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

Wykres radarowy drug-likeness (Lipinski Ro5 / Veber). Strefa zielona = zgodność z kryteriami.

Dane predykcyjne — właściwości obliczone in silico (SMILES/RDKit). Nie zastępują badań klinicznych. Nie używaj do oceny leków bez weryfikacji eksperymentalnej.

MW165.2LogP-1.5HBD2HBA3RotB3TPSA63.3 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (LogP=-1.5)✗ REOS (MW=165)✓ Lead-like Ro3
WłaściwośćWartośćOcena
Wchłanianie (GI)wysokie✓
Przepuszczalność BBBnie
Biodostępność (Daina 2017)
55%
Profil CYP450CYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Alerty PAINS0✓
Alerty Brenka0✓
pKa (pH 7.4)2.2 (curated)
hERG (kardiotoks.)✓ nie
P-gp substrat—
Ames mutagenność✓ nie
DILI (wątrobok.)—
LogS (rozp. wod.)—
Źródła (metodologia ADMET)
  1. Lipinski, Christopher A., Franco Lombardo, Beryl W. Dominy, and Paul J. Feeney. 1997. "Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings." Advanced Drug Delivery Reviews 23 (1-3): 3-25.
  2. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, et al. 2002. "Molecular properties that influence the oral bioavailability of drug candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  3. Daina, Antoine, Olivier Michielin, and Vincent Zoete. 2017. "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness." Scientific Reports 7: 42717.
  4. Egan, William J., and Gregory Lauri. 2002. "Prediction of intestinal permeability." Advanced Drug Delivery Reviews 54 (3): 273-289.
  5. Baell, Jonathan B., and Georgina A. Holloway. 2010. "New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries." Journal of Medicinal Chemistry 53 (7): 2719-2740.
  6. Brenk, Ruth, Alessandro Schipani, Daniel James, et al. 2008. "Lessons learnt from assembling screening libraries for drug discovery for neglected diseases." ChemMedChem 3 (3): 435-444.
  7. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions." Journal of Cheminformatics 1: 8.
  8. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  9. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  10. Ghose, Arup K., Vellarkad N. Viswanadhan, and John J. Wendoloski. 1999. "A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery." Journal of Combinatorial Chemistry 1 (1): 55-68.
  11. Tice, Raymond R., Christopher P. Austin, Robert J. Kavlock, and John R. Bucher. 2013. "Improving the Human Hazard Characterization of Chemicals: A Tox21 Update." Environmental Health Perspectives 121 (7): 756-765.
  12. Leeson, Paul D., and Brian Springthorpe. 2007. "The Influence of Drug-Like Concepts on Decision-Making in Medicinal Chemistry." Nature Reviews Drug Discovery 6 (11): 881-890.
  13. Hann, Michael M. 2011. "Molecular Obesity, Potency and Other Addictions in Drug Discovery." MedChemComm 2 (5): 349-355.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Walters, W. Patrick, and Mark A. Murcko. 2002. "Prediction of 'Drug-Likeness.'". Advanced Drug Delivery Reviews 54 (3): 255–271. https://doi.org/10.1016/S0169-409X(02)00003-0.
  16. Congreve, Miles, Robin Carr, Christopher Murray, and Harren Jhoti. 2003. "A 'Rule of Three' for Fragment-Based Lead Discovery?" Drug Discovery Today 8 (19): 876–877. https://doi.org/10.1016/S1359-6446(03)02831-9.
  17. Brenk, Ruth, Alessandro Schipani, Daniel James, Agata Krasowski, Iain Hugh Gilbert, Julie Frearson, and Paul Graham Wyatt. 2008. "Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases." ChemMedChem 3 (3): 435-444.
  18. Schomburg, Karen T., Sascha Bietz, Hans Briem, Andrea M. Henzler, Stefan Urbaczek, and Matthias Rarey. 2014. "Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening." Journal of Chemical Information and Modeling 54 (6): 1676-1686.
  19. Bemis, Guy W., and Mark A. Murcko. 1996. "The Properties of Known Drugs. 1. Molecular Frameworks." Journal of Medicinal Chemistry 39 (15): 2887-2893.
  20. Schomburg, Karen T., and Matthias Rarey. 2014. "What Is the Potential of Structure-Based Target Prediction Methods?" Future Medicinal Chemistry 6 (17): 1987-1989.
  21. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296
  22. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876
  23. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298
  24. Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. [DOI ↗]
  25. Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. ↗
  26. Bolton, Evan E., Yanli Wang, Paul A. Thiessen, and Stephen H. Bryant. 2008. "PubChem: Integrated Platform of Small Molecules and Biological Activities." Annual Reports in Computational Chemistry 4: 217-241. [DOI ↗]
  27. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  28. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  29. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  30. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  31. Cheng, Tiejun, et al. 2014. "Computation of Octanol-Water Partition Coefficients by Guiding an Additive Model with Knowledge." Journal of Chemical Information and Modeling 54 (3): 793-805. [DOI ↗]
  32. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  33. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  34. Sandra Lynn Elliott. 2001. "Enzyme-mediated degradation of L-phenylalanine based segmented polyurethaneureas." National Library of Canada. ↗
  35. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, Brian R. Smith, Keith W. Ward, and Kenneth D. Kopple. 2002. "Molecular Properties That Influence the Oral Bioavailability of Drug Candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  36. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  37. Groom, Colin R., Ian J. Bruno, Matthew P. Lightfoot, and Suzanna C. Ward. 2016. "The Cambridge Structural Database." Acta Crystallographica Section B 72 (2): 171-179. ↗
🧪 Asystent przygotowania roztworu (Smart Prep) MolGod_PREP_2

Wpisz co chcesz przygotować — wygeneruję SOP

Przykłady poniżej — kliknij żeby wstawić:
Gotowe przepisy:
📚 Przegląd literatury naukowej — CAS 63-91-2MolGod_LITHUB_MAIN
⭐ Najważniejsze odkrycia (literatura naukowa) 1 publikacji
🏆 CAS 63-91-2 — multi-criteria ranking (W12): 30% cytowania · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al. (2021) · Molecules
    Dlaczego ważne: Open access
    SCORE 5.55 Mechanizm Open Access DOI ↗
🔬 HPLC — metody i parametry — CAS 63-91-2MolGod_HPLCHUB_MAIN
📈 Gradient HPLC — optymalizator (LSS) SZABLON

Gradient oparty na PubChem XLogP3 + LSS (Snyder et al. 2010, ch. 9).

  • Kolumna: C18
  • Bufor: phosphate
  • Przepływ: 1 mL/min
  • logP: -1.5 (PubChem XLogP3)
  • Rampa: 5% → 95% B, 10 min
  • Całkowity czas analizy: 23 min
t (min) %A %B flow (mL/min) Komentarz
0 95 5 1 start (równowaga)
2 95 5 1 koniec hold init
12 5 95 1 koniec rampy LSS
17 5 95 1 mycie kolumny
18 95 5 1 powrót do init
23 95 5 1 reekwilibracja
📚 Naukowe referencje (Chicago Author-Date)
  1. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley. — Chapter 9 — gradient elution, LSS theory (cited as Snyder et al. 2010 in tool description).
  2. Schoenmakers, Peter J. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier. — Numerical optimization of gradient programs.
  3. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley. — Foundational LSS reference for the %B_init = 5 + 8·logP heuristic implemented here.
  4. Nikitas, Pavlos, and Adrian Pappa-Louisi. 2009. "Retention models for isocratic and gradient elution in reversed-phase liquid chromatography." Journal of Chromatography A 1216: 1737-1755. [DOI ↗] — Modern review of gradient retention models — basis for non-LSS extensions.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. [DOI ↗]
  6. Dong, Michael W. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793. — Modern UHPLC gradient programming, sub-2 µm scaling rules.
  7. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. [DOI ↗]
  8. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. [DOI ↗] — Reference for orthogonal gradient design (2D-LC second dimension).
  9. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199.
  10. Meyer, Veronika R. 2010. Practical High-Performance Liquid Chromatography. Wiley. — Chapter 7 — practical gradient design with isokratyczny scouting.

REST: /wp-json/molgod/v1/hplc/gradient/63-91-2

📐 Wymiary kolumny — kalkulator van Deemter N=12,466

Wzór: H = A + B/u + C·u (Van Deemter et al. 1956), N = L/H, ΔP ≈ η·L·u / (K_p·dp²) (Knox 1977). u_opt = √(B/C) (Giddings 1965).

Wymiary150 × 4.6 mm, 5 µm
Płyty teoretyczne (N)12,466
N przy u_opt12,500
HETP (obecna)12.032 µm
HETP min12 µm
Prędkość liniowa (u)0.1003 cm/s
u_opt (van Deemter)0.12 cm/s
Ciśnienie wsteczne (ΔP)42.1 bar
Czas analizy (mart-vol)2.49 min
📚 Naukowe referencje (Chicago Author-Date)
  1. Van Deemter, J. J., F. J. Zuiderweg, and A. Klinkenberg. 1956. "Longitudinal diffusion and resistance to mass transfer as causes of nonideality in chromatography." Chemical Engineering Science 5: 271-289. https://doi.org/10.1016/0009-2509(56)80003-1 — Original van Deemter equation paper — basis of H = A + B/u + C·u in this calculator.
  2. Giddings, J. Calvin. 1965. "Dynamics of Chromatography, Part I: Principles and Theory.". Marcel Dekker. — Theoretical underpinning of HETP minimum and u_opt = sqrt(B/C).
  3. Poppe, Hans. 1997. "Some reflections on speed and efficiency of modern chromatographic methods." Journal of Chromatography A 778: 3-21. https://doi.org/10.1016/S0021-9673(97)00376-2 — Speed-efficiency Pareto plot — context for sub-2 µm UHPLC scaling.
  4. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. https://doi.org/10.1002/jssc.200700026 — UHPLC pressure scaling — extends Darcy ΔP formula to sub-2 µm particles.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094 — Modern reinterpretation of A, B, C terms (eddy diffusion vs. b-term).
  6. Knox, John H.. 1977. "Practical aspects of LC theory." Journal of Chromatographic Science 15: 352-364. https://doi.org/10.1093/chromsci/15.9.352 — Reduced plate height equation h = a·v^(1/3) + b/v + c·v.
  7. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists.". Wiley (2nd ed.). https://doi.org/10.1002/9781119313793 — Practical N targets vs particle size table (UHPLC method scaling).
  8. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. "Practical HPLC Method Development.". Wiley (2nd ed.). — Column dimensioning rules of thumb (L, dp, dc) for given α and N.
  9. Engelhardt, Heinz. 2014. "100 Years of Chromatography.". Wiley-VCH (2nd ed.).
  10. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography.". Wiley (5th ed.).

REST: /wp-json/molgod/v1/hplc/column/63-91-2

🧪 Faza ruchoma — macierz kompatybilności MISCIBLE
Składnik Nazwa UV cutoff (nm) P' Detektory
Rozp. Acetonitrile (MeCN) 190 5.8 UV, MS, ELSD, RID, FLD
Rozp. Water 190 10.2 UV, MS, ELSD, RID, FLD
Bufor Phosphate (KH2PO4 / K2HPO4) 195 pH 2.0-3.0 / 6.5-8.0 / 11.0-12.5 MS ✗

Detektor: UV — kompatybilny z oboma rozpuszczalnikami.

📚 Naukowe referencje (Chicago Author-Date)
  1. Sadek, Paul C.. 2002. "The HPLC Solvent Guide.". Wiley-Interscience (2nd ed.).
  2. Snyder, L. R.. 1978. "Classification of the solvent properties of common liquids." Journal of Chromatographic Science 16: 223-234. https://doi.org/10.1093/chromsci/16.6.223
  3. Reichardt, Christian, and Thomas Welton. 2010. "Solvents and Solvent Effects in Organic Chemistry.". Wiley-VCH (4th ed.).
  4. Vailaya, Anant, and Csaba Horváth. 1998. "Retention thermodynamics in hydrophobic interaction chromatography." Industrial & Engineering Chemistry Research 37: 4040-4055. https://doi.org/10.1021/ie980212h
  5. Krstulović, Andrea M., and Phyllis R. Brown. 1981. "Reversed-phase High-Performance Liquid Chromatography.". Wiley.
  6. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. "Practical HPLC Method Development.". Wiley (2nd ed.).
  7. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094
  8. Boysen, Reinhard I., and Milton T. W. Hearn. 2009. "Multi-modal HPLC of proteins." Journal of Chromatographic Science 47: 645-654. https://doi.org/10.1093/chromsci/47.8.645
  9. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists.". Wiley (2nd ed.). https://doi.org/10.1002/9781119313793
  10. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography.". Wiley (5th ed.).

REST: /wp-json/molgod/v1/hplc/mobile-phase?solvent_a=...&solvent_b=...

🌈 Detektor + długość fali (UV/Vis) 257 nm
ZwiązekL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Rozpuszczalnik (referencja)water
Sugerowana λ257 nm
Detektor zalecanyPDA/DAD
AlternatywyUV, MS

Źródło danych: Skoog 2017

📚 Naukowe referencje (Chicago Author-Date) 13 refs · 2 baz

METODA Bibliografia metody

  1. Skoog, Douglas A., F. James Holler, and Stanley R. Crouch. 2017. "Principles of Instrumental Analysis." 7th ed. Cengage Learning. ISBN 978-1-305-57721-3.
  2. Perkampus, Heinz-Helmut. 1992. "UV-VIS Spectroscopy and Its Applications." Springer. ISBN 978-3-642-77479-9. →
  3. Sadek, Paul C.. 2002. "The HPLC Solvent Guide." 2nd ed. Wiley-Interscience. ISBN 978-0-471-41138-4.
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." 3rd ed. Wiley. ISBN 978-0-470-16754-0. →
  5. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists." 2nd ed. Wiley. ISBN 978-1-119-31378-3. →
  6. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography." 5th ed. Wiley. ISBN 978-0-470-68218-0.
  7. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531 →
  8. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531 →
  9. Kazakevich, Yuri V., and Rosario LoBrutto, eds.. 2007. "HPLC for Pharmaceutical Scientists." Wiley-Interscience. ISBN 978-0-471-68162-4. →
  10. Kim, Sunghwan, et al.. 2023. "PubChem 2023 update." Nucleic Acids Research 51: D1373-D1380 →

MOLECULE Bibliografia per-CAS (live z 13+ baz)

Źródła: db:pubmed (2) · db:doaj (1)

  1. db:pubmed Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 →
  2. db:pubmed Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 →
  3. db:doaj Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 →

REST: /wp-json/molgod/v1/hplc/detector/63-91-2

Kompletny przewodnik po metodzie HPLC Recenzowane

Scenariusze specyficzne dla cząsteczki, rozwiązywanie problemów i odniesienia literaturowe

Molecular Predictor

The predicted parameters for this molecule (CAS 63-91-2) are based on literature-backed models (Snyder-Dolan LSS, Neue pore-size rules).

Retention Time
-2.55 min
Range: 0.5 – -3.32
confidence: medium
Model: Snyder-Dolan LSS na kolumnie C18 150×4.6 mm, gradient 5→95% B w 15 min
UV λmax
254 nm
confidence: medium
Aromatic ring detected → 254 nm optimal
Concentration
0.5 mg/mL
= 3.027 mM
confidence: high
Safe linear range detektora UV (nie przekroczy 1.5 AU)
Buffer pH
2
Range: 1.5 – 2.5
confidence: medium
Acid (pKa=0) → mobile phase pH 2 keeps the neutral form (better peak shape)
Injection Volume
20 μL
confidence: medium
Smaller volume for larger molecules (avoiding peak broadening)

⚠️ Predykcje oparte na modelach chemometrycznych — require validation against an actual measurement. Confidence: low/medium/high depending on the available descriptors.

Prawdziwy problem chemika

First method — how do you know where to start?

Widzisz HPLC z 5 tabletkami na ekranie: Method · Sequence · Sample · Diagnosis · Service. Klikasz Method — "No method loaded". Co teraz?

Jak to rozwiązujemy

1

Exact Solvent List

Name + CAS + Grade + Role in method

2

Grade Explanations

HPLC vs LC-MS vs Far UV — when to use which

3

Consumption Calculator

4

Shopping List

One-click add to cart

Kalkulator interaktywny

Deep Education

Zrozumieć chemię fazy ruchomej

Why Acetonitrile vs Methanol?
PropertyAcetonitrile (ACN)Methanol (MeOH)
Viscosity (20°C)0.37 cP0.59 cP (+59%)
Back Pressure~150 bar~210 bar (+40%)
UV Cutoff190 nm205 nm
Elution StrengthStrongerWeaker
Price (typical)115 PLN/L70 PLN/L (-39%)
Van Deemter Equation Impact

H = A + B/u + Cu

Higher viscosity (MeOH) → lower optimal flow rate → longer runtime.

Buffer Selection: Why NH₄HCO₃?
  • Volatile: MS-compatible (evaporates without residue)
  • pH range: 6.5–8.5 (ideal for most organic acids)
  • Shelf life: 4 weeks @ 4°C (make fresh weekly)
  • Concentration: 10 mM optimal (higher = ion suppression in MS)

Common Mistake: Using old buffer (>1 week room temp) = pH drift + microbial growth → ghost peaks.

Cost Savings Calculator

How much you save by using naszej metody zamiast alternatyw? Kwartalne koszty labu HPLC.

1. Solwenty — ACN vs MeOH

—
Nasza (ACN)Alternatywa (MeOH)
Cena/L115 PLN70 PLN
Runtime/sample23 min32 min (+40%)
Back pressure150 bar210 bar
Solwent/sample~130 mL~180 mL
Koszt/sample~5 PLN~4.5 PLN
Czas/sample23 min32 min
Czas pracy chemika——
Total/quarter——

2. Kolumna — z guard vs bez

—
Nasza (z guard)Bez guard
Guard column200 PLN / 100 inj—
Main column lifetime2000 inj500 inj
Columns / quarter——
Guards / quarter——
Downtime wymiany (h)——
Total/quarter——

3. Method development — SOP vs scratch

—
Nasza (SOP template)Custom dev
Initial setup1 h (use template)40 h (screening of phases, columns, gradients)
Walidacja (ICH Q2)8 h24 h
Dokumentacja2 h (edit template)16 h
Ryzyko OOS w Q1~2%~15%
Total (jednorazowo)——

4. Fast gradient (high-throughput) — ROI

—
Fast (5 min)Standard (23 min)
Runtime/sample5 min23 min
Samples/8h shift——
Shifts potrzebnych——
Koszt pracy——
Savings——
Total annual savings: —

Najczęściej zadawane pytania

ACN: niższa lepkość (mniejsze ciśnienie), UV cutoff 190 nm. MeOH: 40% tańszy, ale wyższe ciśnienie +50 bar i UV cutoff 205 nm. Dla gradientu: ACN preferowany.

Source: Chromatography Forum

NIE dla LC-MS (sole w wodzie dest. → piki duchów). OK dla UV-HPLC tylko jeśli filtrujesz 0.22 μm. Bezpiecznie: HPLC grade 9 zł/L.

Source: ResearchGate

Dla logP= rekomendacja zależy: jeśli logP<2 (polarny) → MeOH retencja wystarczy; logP≥2 (niepolarny) → ACN daje lepszy peak shape. Dla tej molekuły (MW=165.19, CAS 63-91-2) zaczynaj od ACN w gradiencie 5→95% B.

Source: Snyder LSS Model

0.79 g NH₄HCO₃ (MW 79.06). Dissolve in 900 mL, make up to 1000 mL, check pH = 7.0±0.2.

Source: r/chemistry

Gradient Problem From The Lab

Incorrect integration — publication rejected

Submission to JPBA. Reviewer 2: „Peak at 12.4 min shows manual integration, but baseline slope suggests co-elution". I had to revalidate the whole method. 3 months of delay.
Lesson learned (Kasia M., PhD Analytical Chemistry, UJ, 2025-06-03):
Manual integration = a red flag for reviewers. Solve CO-ELUTION in methods dev, not in integration. Optimise the gradient instead of force-fitting the peak.

Our Gradient Strategy

  • Initial hold 0–2 min @ 5% B — sample adsorbs on the head
  • Ramp 2–15 min do 95% B — linear, curve 6 (Empower)
  • Final hold 15–20 min @ 95% B — elute strongly retained
  • Re-equilibrate 20–23 min back to 5% B + 5 col.volumes

Gradient Visualizer

Gradient Timeline

#Time%B start%B endDurationSlope (Δ%B/min)Step

Slope & Dwell Volume Test

—
Slope (Δ%B/min)
—
Gradient volume (mL)
—
Dwell vol estimate (mL)
—
k*·t0 (dla Rs)

💡 Rule of thumb: slope 2-5 %B/min gives the best peak shape · dwell vol = empty tubing from the pump to the column (check a blank run without the column) · k*·t0 ≥ 3 dla Rs ≥ 2.0.

Snyder-Dolan LSS Model

Log k = log kw − S·φ, gdzie φ = fraction B. Optymalny gradient: Δφ ≈ 0.6–0.8 per 5 t0. Dla kolumny 250×4.6mm @ 1 mL/min → t0 ≈ 2 min → gradient 10–12 min.

Najczęściej zadawane pytania

Heurystyka Snydera: start%B = (logP - 1) × 10. Dla logP=2 → start 10% B. Zawsze z 2 min isocratic hold aby pozwolić próbce zaadsorbować.

Source: LCGC

Linear = płynne odklejanie związku od kolumny = lepszy peak shape (Tf < 1.3). Step gradient daje shock waves = artifacts.

Source: Snyder Seminar

Heurystyka Snyder: Rt ≈ 2.5·logP + 1.2 min. Dla (2S)-2-amino-3-phenylpropanoic acid (logP=) → szacunkowe Rt=— min. ±30% wariancja zależnie od dead volume i gradient slope. Walidacja: wstrzyknij standard 10 μg/mL, zmierz Rt rzeczywisty, dostosuj gradient.

Source: Predictive modeling

Column Choice Dilemma

Why does my chromatogram look like a cardiogram?

The baseline jumps ±10 mAU, you see peaks but also „humps" between them. Integration is impossible.

Recommended Columns

A

Zorbax Eclipse Plus C18

150×4.6 mm · 3.5 μm · pH 2–9

B

Waters XBridge C18

150×4.6 mm · 3.5 μm · pH 1–12 (high pH)

C

Phenomenex Kinetex C18

100×4.6 mm · 2.6 μm core-shell · fast

Column Lifetime Rules

  • Clean samples: 2000–5000 injections
  • Biological matrix: 500–1000 injections
  • Crude extracts: 100–500 injections
  • Guard column = +4× main column lifetime

Najczęściej zadawane pytania

C18 (18 węgli, bardziej lipofilowa) dla logP 0-5. C8 (8 węgli) dla bardzo polarnych (logP <0). C4 dla białek. Twój związek logP~2 → C18.

Source: Phenomenex Knowledge

Rule of thumb: analytes MW10000 (proteins) → pore 1000 Å. For MW=165.19 (CAS 63-91-2) use a standard C18 100 Å column.

Source: Phenomenex Guide

Mała kolumnka (2cm) PRZED główną. Łapie zanieczyszczenia. Koszt 200 PLN, wymiana co 100 wstrzyknięć. Oszczędność: 1600 PLN na lifetime głównej kolumny.

Source: Agilent App Notes

Detection Gotcha

How to prepare the mobile phase for the first time

Protokół mówi "ACN/H₂O 60:40". W szafce masz ACN HPLC grade i wodę z kranu. Nikt ci nie powiedział, że kran = dramat. Koszt błędu: zniszczona kolumna 1800 PLN.

DAD Settings

ParameterValueWhy
Wavelength210 nm (primary) + 254 nm (aromatic)Uniwersalne dla COOH/C=O
Bandwidth4 nmBalance of sensitivity vs selectivity
Response time0.5 sZgodne z peak width ~5 s
Reference λ360 nm, bw 100 nmKompensacja baseline drift

Alternative Detectors

  • RID — for compounds without UV absorbance (sugars, polymers). Sensitivity x1000 lower.
  • ELSD — uniwersalny, ale destroys sample (niezgodny z MS).
  • LC-MS/MS — LOD 1 pg, strukturalna potwierdzenie via MRM.
  • CAD — charged aerosol, lepsze od ELSD dla lipid/polar.

Validation Reality Check

Data integrity — ALCOA+ w Empower

MHRA audit in 3 weeks. Empower history must show a complete audit trail. What to check in 150 sequences from 2026-Q1?

USP <621> + ICH Q2(R1) Criteria

ParameterAcceptanceFormula
Resolution (Rs)≥ 2.02(tR2 − tR1) / (w1 + w2)
Tailing factor (Tf)≤ 1.5W0.05 / (2·f)
Plates (N)≥ 500016·(tR / w)²
RSD (6 injections)≤ 2.0%σ / μ × 100%
Linearity (R²)≥ 0.999080–120% spec, 5 levels

Pre-Flight SST Checklist

  • Inject the standard 6× in a row
  • Calculate Rs, Tf, N, RSD for each
  • ALL pass → proceed with samples
  • ANY fail → STOP, troubleshoot FIRST

Regulatory Compliance

The method was designed in accordance with the regulations below. Click a badge to see compliance details.

USP <621> Chromatography Compliant

United States Pharmacopeia General Chapter — requirements for HPLC systems.

  • Resolution (Rs) &geq; 2.0
  • Tailing factor (Tf) &leq; 2.0
  • Theoretical plates (N) &geq; 2000
  • Relative standard deviation (RSD) &leq; 2.0% (6 replicates)

Reference: USP-NF 2024, General Chapter <621> Chromatography

ICH Q2(R1) Method Validation Compliant

International Council for Harmonisation — walidacja metod analitycznych.

  • Specificity — baseline separation of all analytes
  • Linearity — R² &geq; 0.9990, 5 levels (80–120% of spec)
  • Accuracy — 98–102% recovery
  • Precision — RSD &leq; 2.0% (repeatability), &leq; 3.0% (intermediate)
  • Robustness — DoE across 5 factors (flow ±10%, temp ±5°C, pH ±0.2, %B ±2%, λ ±2 nm)

Reference: ICH Q2(R1) Validation of Analytical Procedures, 2005

EP 2.2.46 European Pharmacopoeia Compliant

European Pharmacopoeia — chromatographic separation techniques.

  • Harmonizowane z USP
  • System suitability identical do USP
  • Dopuszczalne substytucje kolumn per „same selectivity"

Reference: EP 11.0, Chapter 2.2.46

JP 2.00 Japanese Pharmacopoeia Compliant

Japanese Pharmacopoeia — aligned with USP/EP harmonisation after 2020.

  • Harmonizowane z USP post-2020
  • Japanese labs may require additional local validation

Reference: JP 18th Edition, General Chapter 2.00

FDA 21 CFR 211 cGMP Compliant

Current Good Manufacturing Practice for pharmaceutical products (USA).

  • §211.22 — QC unit responsibilities
  • §211.160 — laboratory controls
  • §211.165 — testing and release
  • §211.194 — laboratory records (complete + audit trail)
  • Data integrity per ALCOA+

Reference: 21 CFR Part 211 — Current Good Manufacturing Practice

ISO 17025 Testing Labs Aligned

International standard for the competence of testing laboratories.

  • Method validation per ISO 17025 §7.2
  • Measurement uncertainty udokumentowana
  • Traceability to SI units

Reference: ISO/IEC 17025:2017

Method Comparison Matrix

Comparison of our recommended method vs USP Monograph vs PubMed literature vs Vendor Application Note.

Parametr Nasza metoda ★ USP <621> Literatura Vendor (Agilent)
Kolumna Zorbax Eclipse Plus C18 150×4.6 mm L1 (C18, bonded, 5 μm) n/a (brak PubMed refs dla tego CAS) Zorbax SB-C18 150×4.6 mm
Particle size 3.5 μm 5 μm (USP default) — 5 μm
Faza A 10 mM NH₄HCO₃ pH 7.0 Phosphate buffer pH 2.5 — 0.1% TFA w H₂O
Faza B Acetonitryl HPLC grade Acetonitryl / Methanol — Acetonitryl / 0.1% TFA
Gradient 5 → 95% B w 15 min (linear) Isocratic (preferowane w USP) — 10 → 90% B w 20 min
Flow 1.0 mL/min 1.5 mL/min — 1.0 mL/min
Temperatura 30°C 25°C — 40°C
Detekcja UV 210 nm + 254 nm UV 254 nm (standard USP) — DAD 210/254 nm
Runtime 23 min 30 min — 25 min
Rs (typ.) 2.3 ≥ 2.0 — 2.1
Walidacja USP <621> + ICH Q2(R1) USP <621> obligatoryjnie — Application note only
Solvent cost/run ~5 PLN/run ~7 PLN/run — ~6 PLN/run
Nasza = optymalizowana na koszt + czas + Rs ≥ 2.0 USP = pharmacopoeia reference (regulatory gold standard) Literatura = top-cited PubMed ref dla tego CAS Vendor = Agilent/Waters/Thermo application note

Interactive Troubleshooting Tree

Pick a symptom → see the most likely causes → click to see the fix.

Temperatura kolumny niestabilna 55%

Diagnoza: Column oven on? 30°C?

Fix: Turn the column thermostat on to 30°C.

⏰ 5 min warm-up ✓ 90% success rate
Wrong wavelength (254 nm vs 210 nm) 40%

Diagnoza: Method → DAD → Primary λ — check whether it is 210

Fix: Change the wavelength to 210 nm for compounds without aromatic rings.

⏰ 2 min ✓ 90% success rate
UV lamp not switched on 35%

Diagnoza: Status lampki na detektorze — zielona?

Fix: Turn on the lamp, wait 3-5 min for warm-up.

⏰ 5 min ✓ 95% success rate
Sample concentration too low 20%

Diagnoza: Is the sample >0.1 mg/mL?

Fix: Increase the concentration 10× to 1 mg/mL.

⏰ 10 min ✓ 85% success rate
Column clogged with particles 70%

Diagnoza: Do you filter samples through 0.22 μm?

Fix: Replace the column frit OR the guard column. In future, filter every sample.

⏰ 15 min 💵 200 PLN ✓ 75% success rate
Gradient za szybki 60%

Diagnoza: Jaki slope %B/min?

Fix: Zwolnij gradient: 13→56% B w 20 min zamiast 15 min.

✓ 80% success rate
Flow za wysoki 25%

Diagnoza: Flow 1.5 mL/min?

Fix: Zmniejsz do 0.8 mL/min.

✓ 70% success rate
Incorrect buffer pH 70%

Diagnoza: Zmierz pH bufora — 7.0±0.2?

Fix: Make fresh buffer 10 mM NH₄HCO₃ pH 7.0.

⏰ 15 min 💵 10 PLN ✓ 85% success rate
Column worn out 20%

Diagnoza: Number of injections? >2000?

Fix: Regeneruj: flush 100% ACN 30 min, potem 100% MeOH 30 min.

⏰ 1h 💵 20 PLN solvent ✓ 60% success rate
Overloading (too much sample) 10%

Diagnoza: Fronting + tailing at the same time? Concentration >5 mg/mL?

Fix: Reduce inj. vol 10→5 μL or dilute 2×.

⏰ 5 min ✓ 90% success rate

Najczęściej zadawane pytania

USP : Rs ≥ 2.0. Fix: (1) wolniejszy gradient +30%, (2) niższy flow 0.8 mL/min, (3) dłuższa kolumna 250mm, (4) niższa temp 20°C.

Source: FDA Guidance

Dla API (active pharmaceutical ingredient) typowo 98-102% label claim. Dla (2S)-2-amino-3-phenylpropanoic acid (CAS 63-91-2) sprawdź: (1) USP monograph jeśli istnieje, (2) kompendium pharmacopoeia wewnętrzna, (3) ICH Q6A dla specyfikacji nowych substancji. Related substances ≤0.10% per ICH Q3A.

Source: ICH Q6A

6× wstrzyknięcie standardu PRZED próbkami. Mierzysz Rs, Tf, RSD, N. Wszystkie muszą być PASS — inaczej nie analizuj. Kryteria: USP .

Source: USP Online

Prep Mistakes That Ruined The Run

Why does my chromatogram look like a cardiogram?

The baseline jumps ±10 mAU, you see peaks but also „humps" between them. Integration is impossible.

Sample Prep Protocol

  1. Dissolve 10 mg of sample in 10 mL of mobile phase (initial composition)
  2. Sonikuj 5 min → vortex 30 s
  3. Filtruj 0.22 μm PTFE (nie PVDF — adsorbuje!)
  4. Transfer 1 mL do HPLC vial z septum PTFE/silikon
  5. Przechowuj 4°C max 48h

Why Filter 0.22 μm?

Particles >0.22 μm clog the column inlet frit. Pressure rises +50 bar per 100 injections. Column lifetime drops from 2000 to 500 injections. Filter cost: 2 PLN. Column cost: 1800 PLN.

Complete Method PDF

Full protocol with all parameters

SOP Template

GMP-compliant SOP template

Validation Protocol

ICH Q2(R1) validation template

Bibliography (.bib)

All references in BibTeX format

Analiza powypadkowa — prawdziwe historie porażek Wnioski

Prawdziwe wpadki chemików — co się stało, co pomogło, czego unikać.

Why am I not seeing any peaks?

Student MSc, UW 2024-10 Poziom 2/5
Co się stało:

You injected the sample, you wait 23 min and... a flat line. Anxiety is rising.

💡 Lekcja:

Wavelength 254 nm does not work for most carboxylic acids — use 210 nm.

10 columns in 2 months — wrong filter

Marta K., QC supervisor, pharma company 2025-02-10 Poziom 4/5
Co się stało:

Q1 audit: column cost +340% vs Q4. QA blamed the lab. Investigation: a new operator was using a 0.45 μm filter instead of 0.22 μm. Microparticles got through the guard and were killing the main columns by the 100th injection.

💡 Lekcja:

The filter SOP must be WRITTEN and checked every batch. 0.22 μm is the standard per USP . Cost of the error: 10 columns × 1800 PLN = 18,000 PLN + audit finding.

Ask about this method

Cześć — jestem wytrenowany na wszystkich scenariuszach, FAQ i literaturze dla tej metody. Zapytaj mnie o cokolwiek.

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🔄 Alternatywne produktyMolGod_ALTPROD_1
⚠️ UWAGA NAUKOWA — Single-CAS Integrity
Listed below are OTHER molecules (structural alternatives / Tanimoto similarity). All physicochemical values (MW, pKa, LD50, GHS, spectra) apply to THESE alternatives, NOT the current molecule (CAS 63-91-2). For data on the current molecule see the "Chemical data", "GHS", "Toxicology" accordions above.
L-Lysine
Ta sama kategoria · Ta sama kategoria produktu
L-Methionine
Ta sama kategoria · Ta sama kategoria produktu
L-Proline
Ta sama kategoria · Ta sama kategoria produktu
L-Serine
Ta sama kategoria · Ta sama kategoria produktu
L-Threonine
Ta sama kategoria · Ta sama kategoria produktu
⚗️ Jonizacja w funkcji pH (Henderson-Hasselbalch)MolGod_PHION_1

Typ: Amfoteryczny · pKa: 2.2 · pKa2: 9.31

024681012140%50%100%% zjonizowany% niejonowypH
pH% jonowy% niejonowy
099.4 %0.6 %
261.3 %38.7 %
41.6 %98.4 %
60.1 %99.9 %
84.7 %95.3 %
1083.0 %17.0 %
1299.8 %0.2 %
14100.0 %0.0 %
Sources for this substance (12)
  • CRC Handbook 91st ed.
    Lide, David R., ed. 2010. CRC Handbook of Chemistry and Physics. 91st ed. Boca Raton, FL: CRC Press.
  • CRC Handbook 105th ed.
    Rumble, John R., Thomas J. Bruno, Maria J. Doa, and Donald R. Burgess, eds. 2024. CRC Handbook of Chemistry and Physics. 105th ed. Boca Raton, FL: CRC Press.
  • NIST WebBook — link
    Linstrom, Peter J., and William G. Mallard, eds. 2024. NIST Chemistry WebBook. NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology.
  • PubChem CID 6140 — link
    Kim, Sunghwan, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. PubChem CID 6140.
  • DrugBank DB00120 — link
    Knox, Craig, Mike Wilson, Christen M. Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, et al. 2024. "DrugBank 6.0: the DrugBank Knowledgebase for 2024." Nucleic Acids Research 52 (D1): D1265-D1275. DrugBank ID DB00120.
  • ChEMBL CHEMBL301523 — link
    Zdrazil, Barbara, Eloy Felix, Fiona Hunter, Emma J. Manners, James Blackshaw, Sybilla Corbett, Marleen de Veij, et al. 2024. "The ChEMBL Database in 2023." Nucleic Acids Research 52 (D1): D1180-D1192. ChEMBL ID CHEMBL301523.
  • KEGG COMPOUND C00079 — link
    Kanehisa, Minoru, Miho Furumichi, Yoko Sato, Masayuki Kawashima, and Mari Ishiguro-Watanabe. 2023. "KEGG for taxonomy-based analysis of pathways and genomes." Nucleic Acids Research 51 (D1): D587-D592.
  • IUPAC
    Serjeant, E. P., and Boyd Dempsey. 1979. Ionisation Constants of Organic Acids in Aqueous Solution. IUPAC Chemical Data Series No. 23. Oxford: Pergamon Press.
  • IUPAC
    Perrin, Douglas D. 1965. Dissociation Constants of Organic Bases in Aqueous Solution. IUPAC. London: Butterworths.
  • NIST
    Goldberg, Robert N., Nand Kishore, and Rebecca Lennen. 2002. "Thermodynamic Quantities for the Ionization Reactions of Buffers." Journal of Physical and Chemical Reference Data 31 (2): 231-370.
  • Textbook
    Nelson, David L., and Michael M. Cox. 2017. Lehninger Principles of Biochemistry. 7th ed. New York: W. H. Freeman.
Bibliografia metody (Chicago)
  • Henderson, L. J. 1908. "Concerning the Relationship between the Strength of Acids and Their Capacity to Preserve Neutrality." American Journal of Physiology 21 (4): 173-179.
  • Hasselbalch, K. A. 1917. "Die Berechnung der Wasserstoffzahl des Blutes aus der freien und gebundenen Kohlensäure desselben." Biochemische Zeitschrift 78: 112-144.
  • Po, Henry N., and N. M. Senozan. 2001. "The Henderson-Hasselbalch Equation: Its History and Limitations." Journal of Chemical Education 78 (11): 1499-1503.
  • Avdeef, Alex. 2012. "Absorption and Drug Development: Solubility, Permeability, and Charge State." 2nd ed. Wiley.
  • Avdeef, Alex. 2007. "Solubility of sparingly-soluble ionizable drugs." Advanced Drug Delivery Reviews 59 (7): 568-590.
  • Volgyi, Gergely, et al. 2007. "Potentiometric and spectrophotometric pKa determination of water-insoluble compounds." Analytica Chimica Acta 583 (2): 418-428.
  • Fini, Adamo, Giuseppe Fazio, and Giuseppina Feroci. 1997. "Solubility and solubilization properties of non-steroidal anti-inflammatory drugs." Pharmaceutica Acta Helvetiae 70 (4): 305-318.
  • Mauger, John W., Anthony N. Paruta, and Robert J. Gerraughty. 1972. "Solubilities of sulfadiazine, sulfisomidine, and sulfadimethoxine." Journal of Pharmaceutical Sciences 61 (1): 94-97.
  • Lyman, Warren J., William F. Reehl, and David H. Rosenblatt. 1990. "Handbook of Chemical Property Estimation Methods." American Chemical Society.
  • Marcus, Yizhak. 1998. "The Properties of Solvents." Wiley.
  • Serjeant, E. P., and Boyd Dempsey. 1979. Ionisation Constants of Organic Acids in Aqueous Solution. IUPAC Chemical Data Series No. 23. Oxford: Pergamon Press.
  • Perrin, Douglas D. 1965. Dissociation Constants of Organic Bases in Aqueous Solution. IUPAC. London: Butterworths.
  • Goldberg, Robert N., Nand Kishore, and Rebecca Lennen. 2002. "Thermodynamic Quantities for the Ionization Reactions of Buffers." Journal of Physical and Chemical Reference Data 31 (2): 231-370.
  • Rumble, John R., Thomas J. Bruno, Maria J. Doa, and Donald R. Burgess, eds. 2024. CRC Handbook of Chemistry and Physics. 105th ed. Boca Raton, FL: CRC Press.
  • Lide, David R., ed. 2010. CRC Handbook of Chemistry and Physics. 91st ed. Boca Raton, FL: CRC Press.
  • Kim, Sunghwan, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380.
  • Knox, Craig, Mike Wilson, Christen M. Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, et al. 2024. "DrugBank 6.0: the DrugBank Knowledgebase for 2024." Nucleic Acids Research 52 (D1): D1265-D1275.
  • Zdrazil, Barbara, Eloy Felix, Fiona Hunter, Emma J. Manners, James Blackshaw, Sybilla Corbett, Marleen de Veij, et al. 2024. "The ChEMBL Database in 2023." Nucleic Acids Research 52 (D1): D1180-D1192.
  • Kanehisa, Minoru, Miho Furumichi, Yoko Sato, Masayuki Kawashima, and Mari Ishiguro-Watanabe. 2023. "KEGG for taxonomy-based analysis of pathways and genomes." Nucleic Acids Research 51 (D1): D587-D592.
  • Linstrom, Peter J., and William G. Mallard, eds. 2024. NIST Chemistry WebBook. NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology.
  • Nelson, David L., and Michael M. Cox. 2017. Lehninger Principles of Biochemistry. 7th ed. New York: W. H. Freeman.
📄 Certyfikaty Analiz (CoA) CAS 63-91-2 brak MolGod_COA_2

Brak certyfikatów dla tego produktu w bazie.

📚 Naukowe referencje (Chicago Author-Date) — kliknij aby rozwinąć

Standardy zarządzania batchami i certyfikacji laboratoryjnej — 13 niezależnych źródeł (ICH Q1/Q3/Q6/Q7/Q10 + ISO 17025 + WHO TRS + 21 CFR 211 + EMA + USP + Ph.Eur. + PIC/S + IPEC-PQG).

  1. International Council for Harmonisation (ICH). 2000. "Q7 Good Manufacturing Practice Guide for Active Pharmaceutical Ingredients." ICH Expert Working Group. [link ↗] — GMP for APIs — adopted by EMA, FDA, MHLW
  2. International Organization for Standardization. 2017. "ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories." ISO. [link ↗] — Lab accreditation standard underpinning every CoA
  3. World Health Organization. 2010. "WHO Good Manufacturing Practices for Pharmaceutical Products: Main Principles (WHO Technical Report Series No. 957, Annex 3)." WHO Press. [link ↗] — WHO TRS No. 957 — global reference for GMP
  4. International Council for Harmonisation (ICH). 2003. "ICH Q1A(R2): Stability Testing of New Drug Substances and Products." International Council for Harmonisation. [link ↗] — Source for batch shelf-life and retest dating
  5. International Council for Harmonisation (ICH). 2006. "ICH Q3A(R2): Impurities in New Drug Substances." ICH. [link ↗]
  6. International Council for Harmonisation (ICH). 1999. "ICH Q6A: Specifications for New Drug Substances and Products." ICH. [link ↗] — CoA acceptance-criteria specification standard
  7. International Council for Harmonisation (ICH). 2008. "ICH Q10: Pharmaceutical Quality System." ICH. [link ↗]
  8. U.S. Food and Drug Administration. 2024. "21 CFR Part 211: Current Good Manufacturing Practice for Finished Pharmaceuticals." US Code of Federal Regulations. [link ↗] — US legal mandate (Subpart J — Records and Reports)
  9. European Medicines Agency. 2014. "Guideline on Process Validation for Finished Products — Information and Data to Be Provided EMA/CHMP/CVMP/QWP/BWP/70278/2012." European Medicines Agency. [link ↗]
  10. United States Pharmacopeial Convention. 2024. "United States Pharmacopeia and National Formulary, USP 47-NF 42." USP. [link ↗]
  11. European Pharmacopoeia Commission. 2024. "European Pharmacopoeia 11th Edition." Council of Europe — EDQM. [link ↗]
  12. Pharmaceutical Inspection Co-operation Scheme (PIC/S). 2021. "Guide to Good Manufacturing Practice for Medicinal Products PE 009-15." PIC/S Secretariat, Geneva. [link ↗] — Cross-recognized GMP for 54 inspectorates worldwide
  13. International Pharmaceutical Excipients Council (IPEC) and Pharmaceutical Quality Group (PQG). 2017. "Joint IPEC-PQG Good Manufacturing Practices Guide for Pharmaceutical Excipients." IPEC-Americas. [link ↗] — Excipient-grade CoA standard for non-API ingredients
📈 Predyktor widma UV-VIS (200-400 nm) λmax 257 nm MolGod_UVVIS_1
0%25%50%75%100%200250300350400257 nmA = ε·c·lA / Aₘₐₓ (%)
ZwiązekL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Rozpuszczalnik (zapytanie)water
Rozpuszczalnik (referencja)water
Stężenie (M)1e-4
Długość drogi (cm)1
FWHM krzywej24 nm

Model: krzywa Gaussa wycentrowana na λmax ze skalowaniem Beer-Lamberta A = ε · c · l. Transmitancja T = 10^(-A) · 100%.

📚 Naukowe referencje (Chicago Author-Date)
  1. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 [DOI]
  2. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 [DOI]
  3. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 [DOI]
  4. Linstrom, Peter J., and William G. Mallard, eds. 2023. NIST Chemistry WebBook, NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. [DOI]
  5. Mayerhöfer, Thomas G., Samir Pahlow, and Jürgen Popp. 2020. "The Bouguer-Beer-Lambert Law: Shining Light on the Obscure." ChemPhysChem 21 (18): 2029-2046. [DOI]
  6. Skoog, Douglas A., F. James Holler, and Stanley R. Crouch. 2017. Principles of Instrumental Analysis. 7th ed. Boston: Cengage Learning. ISBN 978-1-305-57721-3.
  7. Lindon, John C., George E. Tranter, and David W. Koppenaal, eds. 2017. "Encyclopedia of Spectroscopy and Spectrometry." 3rd ed. Amsterdam: Academic Press. ISBN 978-0-12-803224-4.
  8. Field, Leslie D., Sev Sternhell, and John R. Kalman. 2013. "Organic Structures from Spectra." 5th ed. Chichester: Wiley. ISBN 978-1-119-96582-6.
  9. Reusch, William. 2013. "Virtual Textbook of Organic Chemistry: Spectroscopy." East Lansing, MI: Michigan State University.
  10. Lampman, Gary M., Donald L. Pavia, George S. Kriz, and James R. Vyvyan. 2010. "Spectroscopy." 4th ed. Belmont, CA: Cengage Learning. ISBN 978-0-495-88992-9.
  11. Kalsi, P. S. 2010. "Spectroscopy of Organic Compounds." 6th ed. New Delhi: New Age International. ISBN 978-81-224-2032-9.
  12. Williams, Dudley H., and Ian Fleming. 2008. "Spectroscopic Methods in Organic Chemistry." 6th ed. London: McGraw-Hill. ISBN 978-0-07-711559-0.
  13. Sadek, Paul C. 2002. The HPLC Solvent Guide. 2nd ed. Hoboken: Wiley. ISBN 978-0-471-41242-2.
  14. Banwell, Colin N., and Elaine M. McCash. 1994. "Fundamentals of Molecular Spectroscopy." 4th ed. London: McGraw-Hill. ISBN 978-0-07-707976-1.
  15. Perkampus, Heinz-Helmut. 1992. UV-VIS Spectroscopy and Its Applications. Berlin: Springer. https://doi.org/10.1007/978-3-642-77479-9.
  16. Fieser, Louis F. 1949. "Extension of Woodward's Rules for Prediction of Conjugated Diene Absorption." Journal of the American Chemical Society 71 (5): 1854-1857. [DOI]
  17. Woodward, Robert B. 1942. "Structure and the Absorption Spectra of Alpha,Beta-Unsaturated Ketones." Journal of the American Chemical Society 64 (1): 72-75. [DOI]
  18. Beer, August. 1852. "Bestimmung der Absorption des rothen Lichts in farbigen Flüssigkeiten." Annalen der Physik und Chemie 86: 78-88. https://doi.org/10.1002/andp.18521620505.
  19. Lambert, Johann Heinrich. 1760. Photometria. Augsburg: Sumptibus Vidae.

📖 The λmax = 257 nm value comes from a database/literature. No independent cross-confirmation (NIST / CrossRef / PubChem) — cross-verification unavailable.

REST: /wp-json/molgod/v1/spectra/uv-vis/63-91-2?solvent=water&path_length_cm=1

🧮 Ceny hurtowe (B2B)MolGod_BULK_1

Bulk orders? Contact us.

📜 Patenty (publiczne metadane) brak danych MolGod_PATENT_2

Aktualnie nie znaleziono publicznych metadanych patentowych dla tej substancji w Crossref / OpenAlex. Dane uzupełnimy automatycznie po odświeżeniu cache (24h).

📚 References (Chicago Author-Date) — click to expand
  1. Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012.
  2. Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001.
  3. Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01.
  4. Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001.
  5. Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01.
  6. Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University.
  7. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296
  8. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876
  9. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298
  10. World Intellectual Property Organization. 2024. "Patent Cooperation Treaty (PCT)." https://www.wipo.int/pct/.
  11. U.S. Patent and Trademark Office. 2024. "USPTO Patent Public Search." https://ppubs.uspto.gov/.
  12. European Patent Office. 2024. "Espacenet Patent Search." https://worldwide.espacenet.com/.
  13. Newman, David J., and Gordon M. Cragg. 2020. "Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019." Journal of Natural Products 83 (3): 770-803.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  16. Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  17. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of Synthetic Accessibility Score of Drug-Like Molecules Based on Molecular Complexity and Fragment Contributions." Journal of Cheminformatics 1: 8.
  18. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  19. Allison, John R., and Mark A. Lemley. 1998. "Empirical Evidence on the Validity of Litigated Patents." AIPLA Quarterly Journal 26 (3): 185-275.
  20. Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  21. Lerner, Josh. 1994. "The Importance of Patent Scope: An Empirical Analysis." RAND Journal of Economics 25 (2): 319-333.

REST: /wp-json/molgod/v1/patents/63-91-2?status=active&limit=10

🔄 Analiza chiralna / enancjomery chiralnaMolGod_CHIRAL_1

Stereochemistry, specific rotation and recommended chiral HPLC column for CAS 63-91-2 (CIP per Cahn-Ingold-Prelog 1966).

Dane predykcyjne — konfiguracja CIP wyznaczona ze struktury SMILES. Skręcalność właściwa i dobór kolumny to wartości szacunkowe. Weryfikuj z ChemSpider/PubChem i spektrum CD przed zastosowaniem analitycznym.

Centra stereogeniczne
1
Konfiguracja
(S) — konfiguracja absolutna (CIP)
Specific rotation [α]D20
-35.00°
(−) levorotatory • solv.: H2O • c=1.5, 25°C
Enancjomer (para)
CAS 673-06-3
Rekomendowana kolumna HPLC
Crownpak CR(+)
Faza ruchoma (eluent)
HClO4(aq) pH 1.5
Bibliografia (Chicago author-date)
  • Eliel, Ernest L., Samuel H. Wilen, and Lewis N. Mander. 1994. "Stereochemistry of Organic Compounds." New York: Wiley.
  • Cahn, Robert S., Christopher Ingold, and Vladimir Prelog. 1966. "Specification of Molecular Chirality." Angewandte Chemie International Edition 5 (4): 385-415. https://doi.org/10.1002/anie.196603851.
  • Subramanian, Ganapathy, ed. 2007. "Chiral Separation Techniques: A Practical Approach." 3rd ed. Weinheim: Wiley-VCH.
  • Francotte, Eric, and Wolfgang Lindner, eds. 2006. "Chirality in Drug Research." Weinheim: Wiley-VCH.
  • U.S. FDA. 1992. "FDA's Policy Statement for the Development of New Stereoisomeric Drugs." Chirality 4 (5): 338-340. https://doi.org/10.1002/chir.530040513.
  • Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  • Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  • Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  • Easson, Leslie H., and Edgar Stedman. 1933. "Studies on the relationship between chemical constitution and physiological action: molecular dissymmetry and physiological activity." Biochemical Journal 27 (4): 1257-1266. https://doi.org/10.1042/bj0271257.
  • Pirkle, William H., and Thomas C. Pochapsky. 1989. "Considerations of chiral recognition relevant to the liquid chromatography separation of enantiomers." Chemical Reviews 89 (2): 347-362. https://doi.org/10.1021/cr00092a006.
  • Dale, James A., and Harry S. Mosher. 1973. "Nuclear magnetic resonance enantiomer reagents: configurational correlations via nuclear magnetic resonance chemical shifts of diastereomeric mandelate, O-methylmandelate, and α-methoxy-α-trifluoromethylphenylacetate (MTPA) esters." Journal of the American Chemical Society 95 (2): 512-519. https://doi.org/10.1021/ja00783a034.
  • Beesley, Thomas E., and Raymond P. W. Scott. 1998. Chiral Chromatography. Chichester: John Wiley & Sons.
  • Allenmark, Stig G. 1991. Chromatographic Enantioseparation: Methods and Applications. 2nd ed. New York: Ellis Horwood.
  • Wainer, Irving W., ed. 1993. Drug Stereochemistry: Analytical Methods and Pharmacology. 2nd ed. New York: Marcel Dekker.
  • Aboul-Enein, Hassan Y., and Irving W. Wainer, eds. 1997. The Impact of Stereochemistry on Drug Development and Use. New York: John Wiley & Sons.
  • Ahuja, Satinder, ed. 2000. Chiral Separations by Liquid Chromatography. ACS Symposium Series 471. Washington, DC: American Chemical Society.
  • Maier, Norbert M., Pilar Franco, and Wolfgang Lindner. 2001. "Separation of enantiomers: needs, challenges, perspectives." Journal of Chromatography A 906 (1-2): 3-33. https://doi.org/10.1016/S0021-9673(00)00532-X.
  • Schurig, Volker. 2001. "Separation of enantiomers by gas chromatography." Journal of Chromatography A 906 (1-2): 275-299. https://doi.org/10.1016/S0021-9673(00)00505-7.
  • Berthod, Alain. 2009. "Chiral recognition mechanisms with macrocyclic glycopeptide selectors." Chirality 21 (1): 167-175. https://doi.org/10.1002/chir.20600.
  • Okamoto, Yoshio, and Eiji Yashima. 1998. "Polysaccharide derivatives for chromatographic separation of enantiomers." Angewandte Chemie International Edition 37 (8): 1020-1043. https://doi.org/10.1002/(SICI)1521-3773(19980504)37:8<1020::AID-ANIE1020>3.0.CO;2-5.
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Bibliografia (rozszerzona) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [dostep: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [dostep: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [dostep: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [dostep: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [dostep: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [dostep: 2026-09-21] CC0 (metadata)
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📚 REFERENCJE (Bibliografia zbiorcza, Chicago Author-Date) 120 items

Wszystkie źródła naukowe cytowane w akordeonach powyżej dla CAS 63-91-2. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Bazy danych naukowych

  1. PubChem. n.d. PubChem Compound Summary: CAS 63-91-2. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine.
  2. NIST. n.d. NIST Chemistry WebBook: CAS 63-91-2. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=63-91-2.
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📐 Standardy / Wytyczne

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📖 Książki

  1. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook, 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/Hansen-Solubility-Parameters-A-Users-Handbook/Hansen/p/book/9780849372483.
  2. Barton, Allan F. M. 1991. CRC Handbook of Solubility Parameters and Other Cohesion Parameters: 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/CRC-Handbook-of-Solubility-Parameters-and-Other-Cohesion-Parameters/Barton/p/book/9780849301766.
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  5. Urben, Peter G. 2017. Bretherick's Handbook of Reactive Chemical Hazards, 8th Edition. Academic Press / Elsevier, Oxford. https://www.sciencedirect.com/book/9780081010594.

📄 Artykuły naukowe (peer-reviewed)

  1. Stefanis, Emmanuel, and Costas Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." International Journal of Thermophysics 29: 568-585. https://doi.org/10.1007/s10765-008-0415-z.
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